.gitlab-ci.yml

# Here you define the stages of your pipeline.
# more info: https://docs.gitlab.com/ee/ci/yaml/#stages
stages:
  - build
  - deploy

# Here you define top-level cache.
# In this case, I'm caching the node_modules/ folder, so next you run "yarn install" it won't take too much time.
# more info: https://docs.gitlab.com/ee/ci/yaml/#cache
cache:
  key: $CI_COMMIT_REF_SLUG
  paths:
    - node_modules/

# Here you define your AWS credentials. I strongly suggest you to use secret variables.
# I also set the name of the S3 bucket I want to deploy to.
# more info: https://docs.gitlab.com/ee/ci/variables/
variables:
  AWS_ACCESS_KEY_ID: ""
  AWS_SECRET_ACCESS_KEY: ""
  S3_BUCKET_NAME: ""

# This is the build job, where we build the app.
build-with-yarn:
  stage: build
  image: node:lts-alpine  # I'm using node lts version (using Alpine)
  script:
    - yarn install
    - yarn build
  artifacts:  # Here I define the artifacts generated by the build and their expiration date. Artifacts are passed between jobs.
    expires_in: 1 day
    paths:
      - dist/  # I defined the directory "dist/" as an artifact.

# In this job I get the artifact generated in the previous job and send it to S3 using the AWS CLI.
deploy-to-aws:
  stage: deploy
  when: manual
  image: alpine:latest
  script:
    - apk add --no-cache curl jq python py-pip
    - pip install awscli
    - aws s3 cp dist/ s3://$S3_BUCKET_NAME/ --recursive --include "*"